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  <title>SAL Data Sets - Columbus</title>
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<h1>Columbus</h1>

<h2>Data provided "as is," no warranties</h2>

<h2>Description</h2>

<p>Crime data for 49 neighborhoods in Columbus, OH, 1980</p>

<p>Type = polygon shape file, projected, arbitrary units</p>

<p>Observations = 49</p>

<p>Variables = 20</p>

<h2>Source</h2>

<p>Anselin, Luc (1988). Spatial Econometrics. Boston, Kluwer 
   Academic, Table 12.1, p. 189.</p>

<h2>Variables</h2>

<table>
  <thead>
    <tr>
      <th>Variable</th>
      <th>Description</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>AREA</td>
      <td>neighborhood area (computed by ArcView)</td>
    </tr>
    <tr>
       <td>PERIMETER</td>
       <td>neighborhood perimeter (computed by ArcView)</td>
    </tr>
    <tr>
       <td>COLUMBUS_</td>
       <td>internal polygon ID (generated by ArcView)</td>
    </tr>
    <tr>
       <td>COLUMBUS_I</td>
       <td>internal polygon ID (geneated by ArcView)</td>
    </tr>
    <tr>
       <td>POLYID</td>
       <td>neighborhood ID, used in GeoDa User's Guide and tutorials</td>
    </tr>
    <tr>
       <td>NEIG</td>
       <td>neighborhood ID, used in Spatial Econometrics examples</td>
    </tr>
    <tr>
       <td>HOVAL</td>
       <td>housing value (in $1,000)</td>
    </tr>
    <tr>
       <td>INC</td>
       <td>household income (in $1,000)</td>
    </tr>
    <tr>
       <td>CRIME</td>
       <td>residential burglaries and vehicle thefts per 1000 households</td>
    </tr>
    <tr>
       <td>OPEN</td>
       <td>open space (area)</td>
    </tr>
    <tr>
       <td>PLUMB</td>
       <td>percent housing units without plumbing</td>
    </tr>
    <tr>
       <td>DISCBD</td>
       <td>distance to CBD</td>
    </tr>
    <tr>
       <td>X</td>
       <td>centroid x coordinate (in arbitrary digitizing units)</td>
    </tr>
    <tr>
       <td>Y</td>
       <td>centroid y coordinate (in arbitrary digitizing units)</td>
    </tr>
    <tr>
       <td>NSA</td>
       <td>north-south indicator variable (North = 1)</td>
    </tr>
    <tr>
       <td>NSB</td>
       <td>other north-south indicator variable (North = 1)</td>
    </tr>
    <tr>
       <td>EW</td>
       <td>east-west indicator variable (East = 1)</td>
    </tr>
    <tr>
       <td>CP</td>
       <td>core-periphery indicator variable (Core = 1)</td>
    </tr>
    <tr>
       <td>THOUS</td>
       <td>constant (= 1000)</td>
    </tr>
    <tr>
       <td>NEIGNO</td>
       <td>another neighborhood ID variable (NEIG + 1000)</td>
    </tr>
  </tbody>
</table>

<br />
<hr />

<p>Prepared by <a href="mailto:anselin@uiuc.edu">Luc Anselin</a></p>

<p><a href="http://sal.agecon.uiuc.edu">UIUC-ACE Spatial Analysis
Laboratory</a></p>

<p>Last updated June 16, 2003</p>
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